A man in the woods.
I'm a PhD student in the Computer Sciences Department at the University of Wisconsin-Madison and a research assistant in the Security & Privacy Research Group, advised by Prof. Patrick McDaniel. My research interests are in network and systems security. In current work, I'm exploring how trusted computing primitives can be leveraged to architect and build secure data storage systems.
Email: qkb@cs.wisc.edu
Mailing address: 1210 W. Dayton St., Madison, WI 53706

Recent News

08/2022 I've started as a research assistant in the Computer Sciences Department at the University of Wisconsin-Madison. Looking forward to new projects and fruitful collaborations!
05/2022 Our paper "Enforcing Multilevel Security Policies in Unstable Networks" has been accepted for publication in IEEE TNSM!
04/2022 Our paper "Joint Caching and Routing in Cache Networks with Arbitrary Topology" has been accepted to IEEE ICDCS 2022!
03/2022 Our paper "Measuring and Mitigating the Risk of IP Reuse on Public Clouds" has been accepted to IEEE S&P 2022!
02/2022 I'll be on the PC for IEEE S&P 2023! Looking forward to the reviews and discussions ahead.

Publications

2022 Quinn Burke, Fidan Mehmeti, Rahul George, Trent Jaeger, Thomas La Porta, and Patrick McDaniel. "Enforcing Multilevel Security Policies in Unstable Networks," in IEEE Transactions on Network and Service Management, June 2022.
[DOI] [arXiv] [PDF]
Yohan Beugin, Quinn Burke, Blaine Hoak, Ryan Sheatsley, Eric Pauley, Gang Tan, Syed Rafiul Hussain, and Patrick McDaniel. "Building a Privacy-Preserving Smart Camera System," in Proceedings on Privacy Enhancing Technologies (PETS), July 2022.
[DOI] [arXiv] [PDF]
Tian Xie, Sanchal Thakkar, Ting He, Patrick Drew Mcdaniel, and Quinn Burke. "Joint Caching and Routing in Cache Networks with Arbitrary Topology," in Proceedings of the International Conference on Distributed Computing Systems (ICDCS), July 2022.
[DOI] [PDF]
Eric Pauley, Ryan Sheatsley, Blaine Hoak, Quinn Burke, Yohan Beugin, and Patrick McDaniel. "Measuring and Mitigating the Risk of IP Reuse on Public Clouds," in IEEE Symposium on Security and Privacy (S&P), IEEE, May 2022.
[DOI] [arXiv] [PDF] [FAQ]
Kyle Domico, Ryan Sheatsley, Yohan Beugin, Quinn Burke, and Patrick McDaniel. "A Machine Learning and Computer Vision Approach to Geomagnetic Storm Forecasting," in Machine Learning in Heliophysics (ML-Helio), AGU, Mar. 2022.
[DOI] [arXiv] [PDF]
2021 Quinn Burke, Patrick McDaniel, Thomas La Porta, Mingli Yu, and Ting He. "Misreporting Attacks Against Load Balancers in Software-Defined Networking," in Mobile Networks and Applications, Springer, Dec. 2021.
[DOI] [PDF]
Mingli Yu, Tian Xie, Ting He, Patrick McDaniel, and Quinn Burke. "Flow Table Security in SDN: Adversarial Reconnaissance and Intelligent Attacks," in IEEE/ACM Transactions on Networking, Aug. 2021.
[DOI] [PDF]
Stefan Achleitner, Quinn Burke, Patrick McDaniel, Trent Jaeger, Thomas La Porta and Srikanth Krishnamurthy. "MLSNet: A Policy Complying Multilevel Security Framework for Software Defined Networking," in IEEE Transactions on Network and Service Management, Mar. 2021, vol. 18, no. 1, pp. 729-744.
[DOI] [arXiv] [PDF]
2020 Quinn Burke, Patrick McDaniel, Thomas La Porta, Mingli Yu, and Ting He. "Misreporting Attacks in Software-Defined Networking," in International Conference on Security and Privacy in Communication Networks (SecureComm 2020), Cham, Oct. 2020, pp. 276–296.
[DOI] [PDF]
Mingli Yu, Ting He, Patrick McDaniel and Quinn Burke. "Flow Table Security in SDN: Adversarial Reconnaissance and Intelligent Attacks," in IEEE INFOCOM 2020 - IEEE Conference on Computer Communications, July 2020, pp. 1519-1528.
[DOI] [PDF]